protected void Page_Load(object sender, System.EventArgs e)
{
nChartControl1.BackgroundStyle.FrameStyle.Visible = false;
nChartControl1.Panels.Clear();
// set a chart title
NLabel title = new NLabel("Data Distribution");
title.TextStyle.FontStyle = new NFontStyle("Times New Roman", 14, FontStyle.Italic);
title.TextStyle.ShadowStyle.Type = ShadowType.LinearBlur;
title.ContentAlignment = ContentAlignment.BottomCenter;
title.Margins = new NMarginsL(5, 5, 5, 5);
title.DockMode = PanelDockMode.Top;
title.Location = new NPointL(
new NLength(50, NRelativeUnit.ParentPercentage),
new NLength(2, NRelativeUnit.ParentPercentage));
// no legend
nChartControl1.Legends.Clear();
// create box and whiskers chart
NChart boxChart = new NCartesianChart();
boxChart.Margins = new NMarginsL(5, 0, 5, 5);
boxChart.BoundsMode = BoundsMode.Stretch;
boxChart.DockMode = PanelDockMode.Right;
boxChart.Size = new NSizeL(new NLength(20, NRelativeUnit.ParentPercentage), new NLength(100, NRelativeUnit.ParentPercentage));
// create point chart
NChart pointChart = new NCartesianChart();
pointChart.Margins = new NMarginsL(5, 0, 0, 5);
pointChart.BoundsMode = BoundsMode.Stretch;
pointChart.DockMode = PanelDockMode.Fill;
// create a guide line to align the chart bottoms
NSideGuideline bottomChartGuideline = new NSideGuideline(PanelSide.Bottom);
nChartControl1.Document.RootPanel.Guidelines.Add(bottomChartGuideline);
bottomChartGuideline.Targets.Add(pointChart);
bottomChartGuideline.Targets.Add(boxChart);
// arrange panels
nChartControl1.Panels.Add(title);
nChartControl1.Panels.Add(boxChart);
nChartControl1.Panels.Add(pointChart);
SetupCharts(pointChart, boxChart);
bool showAverage = ShowAverageCheckBox.Checked;
bool showOutliers = ShowOutliersCheckBox.Checked;
NPointSeries pointSeries = (NPointSeries)pointChart.Series[0];
NBoxAndWhiskersSeries boxSeries = (NBoxAndWhiskersSeries)boxChart.Series[0];
NBoxAndWhiskersDataPoint bwdp = new NBoxAndWhiskersDataPoint(pointSeries.Values, showAverage, showOutliers);
boxSeries.ClearDataPoints();
boxSeries.AddDataPoint(bwdp);
}
private void GenerateData(NBoxAndWhiskersSeries series, int nCount)
{
series.ClearDataPoints();
DateTime dt = new DateTime(2005, 5, 24, 11, 0, 0);
Random random = new Random();
for (int i = 0; i < nCount; i++)
{
double boxLower = 1000 + Random.NextDouble() * 200;
double boxUpper = boxLower + 200 + Random.NextDouble() * 200;
double whiskersLower = boxLower - (20 + Random.NextDouble() * 300);
double whiskersUpper = boxUpper + (20 + Random.NextDouble() * 300);
double IQR = (boxUpper - boxLower);
double median = boxLower + IQR * 0.25 + Random.NextDouble() * IQR * 0.5;
double average = boxLower + IQR * 0.25 + Random.NextDouble() * IQR * 0.5;
series.UpperBoxValues.Add(boxUpper);
series.LowerBoxValues.Add(boxLower);
series.UpperWhiskerValues.Add(whiskersUpper);
series.LowerWhiskerValues.Add(whiskersLower);
series.MedianValues.Add(median);
series.AverageValues.Add(average);
// generate date time value
dt = dt.AddHours(12 + Random.NextDouble() * 60);
series.XValues.Add(dt.ToOADate());
// generate outlier values
int outliersCount = Random.Next(5);
NDoubleList outliers = new NDoubleList();
for (int k = 0; k < outliersCount; k++)
{
double dOutlier = 0;
if (Random.NextDouble() > 0.5)
{
dOutlier = boxUpper + IQR * 1.5 + Random.NextDouble() * 100;
}
else
{
dOutlier = boxLower - IQR * 1.5 - Random.NextDouble() * 100;
}
outliers.Add(dOutlier);
}
series.OutlierValues.Add(outliers);
}
}
void UpdateBoxAndWhiskers()
{
NChart pointChart = nChartControl1.Charts[0];
NChart boxChart = nChartControl1.Charts[1];
NPointSeries pointSeries = (NPointSeries)pointChart.Series[0];
NBoxAndWhiskersSeries boxSeries = (NBoxAndWhiskersSeries)boxChart.Series[0];
bool showAverage = ShowAverageCheck.Checked;
bool showOutliers = ShowOutliersCheck.Checked;
NBoxAndWhiskersDataPoint bwdp = new NBoxAndWhiskersDataPoint(pointSeries.Values, showAverage, showOutliers);
boxSeries.ClearDataPoints();
boxSeries.AddDataPoint(bwdp);
}
private void GenerateData(NBoxAndWhiskersSeries series, int nCount)
{
series.ClearDataPoints();
for (int i = 0; i < nCount; i++)
{
double boxLower = 1000 + Random.NextDouble() * 200;
double boxUpper = boxLower + 200 + Random.NextDouble() * 200;
double whiskersLower = boxLower - (20 + Random.NextDouble() * 300);
double whiskersUpper = boxUpper + (20 + Random.NextDouble() * 300);
double IQR = (boxUpper - boxLower);
double median = boxLower + IQR * 0.25 + Random.NextDouble() * IQR * 0.5;
double average = boxLower + IQR * 0.25 + Random.NextDouble() * IQR * 0.5;
series.UpperBoxValues.Add(boxUpper);
series.LowerBoxValues.Add(boxLower);
series.UpperWhiskerValues.Add(whiskersUpper);
series.LowerWhiskerValues.Add(whiskersLower);
series.MedianValues.Add(median);
series.AverageValues.Add(average);
int outliersCount = Random.Next(5);
NDoubleList outliers = new NDoubleList();
for (int k = 0; k < outliersCount; k++)
{
double dOutlier = 0;
if (Random.NextDouble() > 0.5)
{
dOutlier = boxUpper + IQR * 1.5 + Random.NextDouble() * 100;
}
else
{
dOutlier = boxLower - IQR * 1.5 - Random.NextDouble() * 100;
}
outliers.Add(dOutlier);
}
series.OutlierValues.Add(outliers);
}
}